Aims: This study aims to find out whether marketing through social media and word of mouth can significantly influence brand awareness and purchase intention of mutual fund products at Bibit startup, because branding plays an important role in services since the stronger the brand, the higher the customer's trust in the invisible purchase. Design/Methodology: This study uses a survey research design method and a quantitative approach which used to ascertain causal relationships between variables, a causal research design is used in this study. The sampling method was carried out online through an online questionnaire which is distributed to respondents who are considered according to predetermined criteria. Bibit startup or PT. Bibit Tumbuh Bersama products were used in the research. Collection of respondents was place during October and November 2022. The source of data in this study is 200 respondents who are Instagram social media users and followers of Bibit’s Instagram account. The research was conducted to obtain significant conclusions using the data analysis model which was processed using the SEM AMOS 26 method. Results: Based on the results of the Sobel test used in this study to examine the relationship between variables mediated by brand awareness, it has shown a positive and significant value. One of the variables that influence consumers’ decision to make a purchase is awareness of the brand of a product. Conclusion: Concerns concerning the expansion of social media marketing must be monitored in order to strengthen a brand's visibility. Consumers who are aware of a brand's existence are more likely to make recurrent purchases as well as first-time purchases.
The emergence of shopping online promotes the development of a marketplace in Indonesia. Shopee is one of the biggest marketplaces which always develops its features to increase its customer satisfaction, keeping in mind that many competitors are offering similar services. The variables of e-service quality, engagement, and e-trust are used to examine the repurchase intention of the customers. The method used in this research is a quantitative method with purposive sampling. The testing used in this research is hypothesis testing, which is done by Goodness of Fit Testing using AMOS 26. The result obtained shows that the quality of e-service influence the engagement, the quality of e-service also influence the e-trust, engagement influence the e-trust, engagement influence the repurchase intention, and e-trust influence the repurchase intention.
Aims: To determine the investment feasibility of evaluating cryptocurrency opportunities as an investment product under the possibility of crypto price valuation selection. The study analyzes three indicators: asset price returns in unrelated time, selection of cryptocurrency investment price weights, and crypto price forward contract opportunities on ARCH-GARCH probability forecasts in the selection of price valuations by individual cryptocurrency prices. Study Design: Quantitative research. Place and Duration of Study: The period from 10 September 2021 to 4 September 2022 using sample data downloaded from the Yahoo Finance website database with metric data retrieval bound in amount, data quantity, or distance relative to writing opportunities to examine the distribution of the amount of research data. Methodology: This study employed Bitcoin (BTC), Ethereum (ETH), and Tether (USDT) cryptocurrencies as the research objects with used panel and multiple regression analysis methodologies and using forecasting the appropriate ARCH and GARCH methods Results: The results show that the prediction of future crypto price selection in BTC and ETH tokens has a probability of 78.6% and 59.6%, respectively. The study highlights the prediction of future BTC and ETH price selection with 79.21% and 78.64% forecast results as found in the ARCH-GARCH(1, 0, 1) technique. Meanwhile, USDT token has no possibility to be forecasted in the future, leaving a 7.3% possibility of crypto price selection under probability by investors in the form of high (or different) price fluctuation inequalities. Conclusion: Conclusions could state that the partial (combined) selection of crypto coin price assessments and individual crypto assets can reduce the expected return from the selection of the asset price so that this form of investment in crypto assets can reduce the level of observation of return on wealth from crypto assets for investors especially in expecting the chance on that investment.
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